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EGC

by Fmarzochi
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    Deploy Server
    One endpoint for every MCP toolRayrun runs every MCP server behind one URL and holds the credentials. Each call is decided per client, tool, and argument, then recorded.ray.runAd

    TDQS

    A3.8/5.0

    Scored across 24 tools

    Disambiguation3/5

    Most tools are grouped by clear prefixes (session_, team_, lesson_, working_memory_), but there are several confusable pairs: get_project_state vs get_state, query_history vs search_history, and store_decision vs update_state. The descriptions help disambiguate, but the name similarity and overlapping memory-related purposes create real misselection risk.

    Naming Consistency3/5

    The server mixes two naming conventions: object-first names like working_memory_set, session_send, and lesson_save, and action-first names like get_state, store_decision, and claim_path. Within each cluster the pattern is fairly consistent, but across the full surface the conventions are mixed and team_status/session_peers/session_events use noun forms alongside verb forms.

    Tool Count3/5

    At 24 tools, the server is at the heavy end of reasonable and spans seven distinct subsystems (state, decisions, working memory, lessons, team sync, session bus, hook analysis). Each tool has a distinct job, but the overall surface is large and would benefit from consolidation in areas like session_wait/session_events.

    Completeness3/5

    The core workflows are well covered: state read/update, working memory set/get/list, lesson save/recall/reinforce, team init/sync/status, and session coordination. However, there are notable lifecycle gaps: no explicit delete for decisions or working memory keys, no way to remove/archive a decision, and no direct session end tool, relying instead on TTL expiry and heartbeats.

    Maintenance

    ActivityActive
    ResponsivenessResponsive

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